Corestrat Blog

The Need for Decision Management Software and Solutions

Decision management software empowers organisations to automate, optimise, and enhance decision-making processes across functions like risk management, compliance, fraud detection, and customer relationship management. In today’s intricate and data-driven business landscape, adopting decision management software is crucial for organizational survival and success.

Credit Risk Management in Personal Loans: Strategies for Responsible Lending

Credit risk management plays a crucial role in fostering responsible lending practices within the realm of personal loans. Through the adoption of rigorous credit assessment procedures, establishing suitable loan terms, diversifying portfolios, monitoring borrower conduct, and adhering to regulatory requirements, financial institutions can effectively manage credit risk while ensuring accessibility to credit for individuals.

Fintech Trends in Financial Services 2024

Fintech Trends in Financial Services 2024

The evolution of fintech technology has enabled non-financial institutions to offer financial services with the necessary licences and permissions. Fintech trends like CBDC, DeFI, biometric payment etc., will define the financial services in the coming days.

Digital Lending Trends 2024

The lending landscape is undergoing a rapid evolution with the rise of digital lending as a transformative phenomenon. Contemporary borrowers are increasingly favoring digital lending over traditional practices, urging lending institutions to adapt, meet evolving demands, and enrich the borrowing experience. Learn more about the digital lending trends that aims to enhance the lending process.

What is the Role of AI and ML in Ensuring Regulatory Compliance in Financial Solutions?

What is the Role of AI and ML in Ensuring Regulatory Compliance in Financial Solutions?

As regulations governing this sector regularly evolve and adapt to changing scenarios, manually keeping up with these updates can be both tiresome and error-prone. AI and ML powered tools can help financial institutions streamline and automate labour-intensive compliance processes and also offer a proactive, data-driven approach to identify and mitigate compliance risks in real time.